A Mesoscale Modeling System Developed for the U.S. Army

Report No. ARL-TR-3183
Authors: Robert E. Dumais, Jr., Teizi Henmi, Jeffrey Passner, Terry Jameson, Pat Haines, and David Knapp
Date/Pages: April 2004; 50 pages
Abstract: The U.S. Army Battlescale Forecast Model (BFM) is a short-range forecasting tool designed to run on a workstation in a tactical environment. The model is hydrostatic and remains computationally stable at large time steps due to alternating-direction implicit finite differencing. The model assimilates data using Newtonian relaxation to incorporate observations and time-tendencies of forecast variables from a previously run numerical model. The U.S. Army uses the BFM to produce real-time, short-range mesoscale forecasts either as input to tactical weather decision aids or to produce more precise firing solutions in artillery. Using a timely and accurate four-dimensional gridded database of meteorological information, a battlefield commander can receive critical guidance that can assist in determining appropriate courses of action in a rapidly changing battlefield weather environment. Standard statistical measures and a few case studies demonstrate the model's merits.
Distribution: Approved for public release
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Last Update / Reviewed: April 1, 2004